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LLMs can generate better features from tabular data when deployed as a multi-agent system with explicit memory of past procedures, feedback, and concepts.
Stop uniformly distilling your LLMs: SCOPE selectively amplifies teacher guidance on incorrect trajectories and reinforces student uncertainty on correct ones, leading to significant gains in reasoning performance.
